AbstrAct: Design candidates obtained from optimization techniques may have meaningful information, which provides not only the best solution, but also a relationship between object functions and design variables. In particular, trade-off studies for optimum airfoil shape design involving various objectives and design variables require the effective analysis tool to take into account a complexit...

Constructing houses in the form of garden-house became popular among Statesmen and the privileged class in Naseri period. Iranian traditional houses which used to be formed around a central courtyard, now were organized around a garden. So the transition from houses with courtyard to garden-houses created a new order of relationships between spaces, resulted in redefining spaces and their forms...

Optimizing the performance of self-organizing feature maps like the Kohonen map involves the choice of the output space topology. We present a topographic product which measures the preservation of neighborhood relations as a criterion to optimize the output space topology of the map with regard to the global dimensionality DA as well as to the dimensions in the individual directions. We test t...

Self-Organizing Map (SOM) is a neural network model which is used to obtain a topology-preserving mapping from the (usually high dimensional) input/feature space to an output/map space of fewer dimensions (usually two or three in order to facilitate visualization). Neurons in the output space are connected with each other but this structure remains fixed throughout training and learning is achi...